Multi-level modelling of chlorination by-product presence in drinking water distribution systems for human exposure assessment purposes |
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Authors: | Christelle Legay Manuel J. Rodriguez Luis Miranda-Moreno Jean-Baptiste S��rodes Patrick Levallois |
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Affiliation: | 1. ??cole sup??rieure d??am??nagement du territoire de l??Universit?? Laval, Pavillon Antoine Savard, Universit?? Laval, Qu??bec City, Qu??bec, Canada, G1K 7P4 2. Department of Civil Engineering and Applied Mechanics, McGill University, 817 Sherbrooke Street West, Montr??al, Qu??bec, Canada, H3A 2K6 3. D??partement de G??nie Civil de l??Universit?? Laval, Universit?? Laval, 2917B Pavillon Pouliot, Qu??bec City, Qu??bec, Canada, G1K 7P4 4. Institut National de Sant?? Publique du Qu??bec, 945 Avenue Wolfe, Qu??bec City, Qu??bec, Canada, G1V 5B3
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Abstract: | During drinking water treatment and distribution, chlorine reacts with organic matter occurring in water to form various chlorination by-products (CBPs) such as trihalomethanes (THMs) and haloacetic acids (HAAs). This paper presents the occurrence of THMs and HAAs in different water distribution systems (DS) of the same region and their modelling for exposure assessment purposes. This study was conducted in eight DS supplying chlorinated water to the population of Québec City, Canada. These systems differ in type of water source (i.e. surface, ground or mixed water), in treatment applied at the plant, and in size and structure of the DS. Two spatio-temporal databases for THMs and HAAs were implemented, one for model development and the other for model validation. The analysis of the data demonstrates significant seasonal and spatial variations of these compounds. A multi-level statistical modelling approach was applied to estimate the ranges for occurrence of THMs and HAAs in the eight DS (i.e. a single model for the study region for each CBP species). The modelling approach integrates available or easily measurable parameters. For both THMs and HAAs, a two-level model considering a sampling-site random effect was selected among various models initially developed. The model capacity for estimating the presence of THMs and HAAs in drinking water and its usefulness for exposure assessment purposes in the studied region was demonstrated. |
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